Model comparison

Dolly 2.0-12b vs Qwen3.5-Flash

Qwen3.5-Flash is the stronger model overall, scoring 42.5 to 25.5 on the Noometry Index.

Last verified . 10 shared benchmarks.

Dolly 2.0-12b Databricks

25.5

Rank #342 Confirmed

Qwen3.5-Flash Alibaba (Qwen)

42.5

Rank #112 Confirmed

Summary

  • They share 10 benchmarks with published results for both. Dolly 2.0-12b scores higher in 0 categories and Qwen3.5-Flash in 6 categories; 6 gaps are clear of the uncertainty.
  • The widest gap is in writing & preference, where Qwen3.5-Flash leads 57.9 to 15.2.
  • Dolly 2.0-12b has downloadable open weights; the other is API-only.

Side by side

Dolly 2.0-12b and Qwen3.5-Flash specifications
Dolly 2.0-12bQwen3.5-Flash
ProviderDatabricksAlibaba (Qwen)
Noometry Index25.542.5
Released2023-04-112026-02-23
WeightsOpenProprietary
Context window—1M
Max output—66K
Input $ / M tokens—$0.10
Output $ / M tokens—$0.40
Results tracked1732

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Category by category

Coding Qwen3.5-Flash leads

Dolly 2.0-12b: 23.4 (#332), Qwen3.5-Flash: 34.2 (#242)

Coding benchmarks
BenchmarkDolly 2.0-12bQwen3.5-Flash
LMArena Coding7761412
LMArena WebDev—1244
ALE-Bench—221.8

Agentic & Tool Use Not comparable

Dolly 2.0-12b: —, Qwen3.5-Flash: —

Agentic & Tool Use benchmarks
BenchmarkDolly 2.0-12bQwen3.5-Flash
Vending-Bench 2—462.69

Reasoning Qwen3.5-Flash leads

Dolly 2.0-12b: 15.3 (#316), Qwen3.5-Flash: 33.7 (#72)

Reasoning benchmarks
BenchmarkDolly 2.0-12bQwen3.5-Flash
LMArena Hard Prompts8041403
Epoch Capabilities Index89.67143.98
Chess Puzzles—21%
Mystery Game Puzzles—20%
DTBench—82.9%
LMCA—29.1%
HellaSwag70.8%—
PIQA75.4%—
WinoGrande61.8%—

Math Qwen3.5-Flash leads

Dolly 2.0-12b: 27.3 (#251), Qwen3.5-Flash: 37.4 (#158)

Math benchmarks
BenchmarkDolly 2.0-12bQwen3.5-Flash
LMArena Math8711407
FrontierMath (Tiers 1-3)—18.2%
OTIS Mock AIME 2024-2025—84.4%
FrontierMath (Feb 2025 set)—6.2%
FrontierMath Tier 4 (v1)—0%

Knowledge Not comparable

Dolly 2.0-12b: —, Qwen3.5-Flash: 43.2 (#93)

Knowledge benchmarks
BenchmarkDolly 2.0-12bQwen3.5-Flash
GPQA Diamond—82.3%
SimpleQA Verified—20.3%
Vectara Hallucination Rate—10.5%
LMArena Expert—1407
ARC (AI2) Challenge39.6%—
BoolQ56.3%—
MMLU26.2%—
OpenBookQA39.2%—

Multilingual Qwen3.5-Flash leads

Dolly 2.0-12b: 17.4 (#296), Qwen3.5-Flash: 50.5 (#121)

Multilingual benchmarks
BenchmarkDolly 2.0-12bQwen3.5-Flash
LMArena Non-English8361385
LMArena Chinese8361446
LMArena French—1412
LMArena German—1390
LMArena Japanese—1368
LMArena Korean—1344
LMArena Russian—1379
LMArena Spanish—1400

Instruction Following Qwen3.5-Flash leads

Dolly 2.0-12b: 38.7 (#304), Qwen3.5-Flash: 72.6 (#139)

Instruction Following benchmarks
BenchmarkDolly 2.0-12bQwen3.5-Flash
LMArena Instruction Following8141374

Long Context Not comparable

Dolly 2.0-12b: —, Qwen3.5-Flash: 42.4 (#124)

Long Context benchmarks
BenchmarkDolly 2.0-12bQwen3.5-Flash
LMArena Longer Query—1392

Writing & Preference Qwen3.5-Flash leads

Dolly 2.0-12b: 15.2 (#311), Qwen3.5-Flash: 57.9 (#122)

Writing & Preference benchmarks
BenchmarkDolly 2.0-12bQwen3.5-Flash
LMArena Text8511397
LMArena Creative Writing8641343
LMArena Multi-Turn7401393

Frequently asked questions

Is Dolly 2.0-12b better than Qwen3.5-Flash?

Qwen3.5-Flash is the stronger model overall, scoring 42.5 to 25.5 on the Noometry Index.

Is Dolly 2.0-12b or Qwen3.5-Flash better for coding?

Qwen3.5-Flash scores higher on coding benchmarks: 34.2 versus 23.4 in the Noometry coding category.

How many benchmarks do Dolly 2.0-12b and Qwen3.5-Flash share?

10 benchmarks have published results for both models. Dolly 2.0-12b has 17 scored results on Noometry and Qwen3.5-Flash has 32.

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